| all_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.287149 | | std_true | 0.224910 | | mean_random | 0.117413 | | std_random | 0.085043 | | snr | 1.995884 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.100900 | | precision@k | 0.020180 | | mean reciprocal rank | 0.236851 | |
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| all_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.252059 | | std_true | 0.232693 | | mean_random | 0.082790 | | std_random | 0.083890 | | snr | 2.017742 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.105700 | | precision@k | 0.021140 | | mean reciprocal rank | 0.241118 | |
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| all_roberta_large_v1 |
| Statistic | Value | | arch | roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 50265 | |
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| Statistic | Value | | mean_true | 0.206714 | | std_true | 0.236873 | | mean_random | 0.066457 | | std_random | 0.072936 | | snr | 1.923015 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.085100 | | precision@k | 0.017020 | | mean reciprocal rank | 0.229314 | |
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| paraphrase_mpnet_base_v2 |
| Statistic | Value | | arch | mpnet | | hidden_size | 768 | | layers | 12 | | vocab_size | 30527 | |
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| Statistic | Value | | mean_true | 0.207840 | | std_true | 0.249521 | | mean_random | 0.078083 | | std_random | 0.074334 | | snr | 1.745592 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.099700 | | precision@k | 0.019940 | | mean reciprocal rank | 0.240206 | |
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| paraphrase_MiniLM_L6_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 6 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.193350 | | std_true | 0.246487 | | mean_random | 0.090438 | | std_random | 0.088177 | | snr | 1.167098 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.087500 | | precision@k | 0.017500 | | mean reciprocal rank | 0.232547 | |
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| bert_base_nli_mean_tokens |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 30522 | |
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| Statistic | Value | | mean_true | 0.405271 | | std_true | 0.217462 | | mean_random | 0.283704 | | std_random | 0.106589 | | snr | 1.140522 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.097650 | | precision@k | 0.019530 | | mean reciprocal rank | 0.236385 | |
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| LaBSE |
| Statistic | Value | | arch | bert | | hidden_size | 768 | | layers | 12 | | vocab_size | 501153 | |
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| Statistic | Value | | mean_true | 0.862219 | | std_true | 0.087595 | | mean_random | 0.147383 | | std_random | 0.095485 | | snr | 7.486350 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.986000 | | precision@k | 0.197200 | | mean reciprocal rank | 0.976524 | |
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| distiluse_base_multilingual_cased_v2 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.842284 | | std_true | 0.109548 | | mean_random | 0.023780 | | std_random | 0.082245 | | snr | 9.952019 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.975900 | | precision@k | 0.195180 | | mean reciprocal rank | 0.964685 | |
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| paraphrase_multilingual_MiniLM_L12_v2 |
| Statistic | Value | | arch | bert | | hidden_size | 384 | | layers | 12 | | vocab_size | 250037 | |
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| Statistic | Value | | mean_true | 0.845384 | | std_true | 0.109365 | | mean_random | 0.175116 | | std_random | 0.133645 | | snr | 5.015300 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.957850 | | precision@k | 0.191570 | | mean reciprocal rank | 0.938954 | |
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| paraphrase_multilingual_mpnet_base_v2 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.872155 | | std_true | 0.101651 | | mean_random | 0.230564 | | std_random | 0.128888 | | snr | 4.977911 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.960450 | | precision@k | 0.192090 | | mean reciprocal rank | 0.944427 | |
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| paraphrase_xlm_r_multilingual_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.835749 | | std_true | 0.109826 | | mean_random | 0.202857 | | std_random | 0.108693 | | snr | 5.822727 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.965800 | | precision@k | 0.193160 | | mean reciprocal rank | 0.952686 | |
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| xlm_r_distilroberta_base_paraphrase_v1 |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.835749 | | std_true | 0.109826 | | mean_random | 0.202857 | | std_random | 0.108693 | | snr | 5.822727 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.965800 | | precision@k | 0.193160 | | mean reciprocal rank | 0.952686 | |
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| stsb_xlm_r_multilingual |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.885081 | | std_true | 0.100873 | | mean_random | 0.184520 | | std_random | 0.152950 | | snr | 4.580335 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.948050 | | precision@k | 0.189610 | | mean reciprocal rank | 0.932879 | |
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| xlm_r_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.885081 | | std_true | 0.100873 | | mean_random | 0.184520 | | std_random | 0.152950 | | snr | 4.580335 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.948050 | | precision@k | 0.189610 | | mean reciprocal rank | 0.932879 | |
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| xlm_r_100langs_bert_base_nli_stsb_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.885081 | | std_true | 0.100873 | | mean_random | 0.184520 | | std_random | 0.152950 | | snr | 4.580335 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.948050 | | precision@k | 0.189610 | | mean reciprocal rank | 0.932879 | |
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| xlm_r_100langs_bert_base_nli_mean_tokens |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.932605 | | std_true | 0.065322 | | mean_random | 0.362366 | | std_random | 0.161215 | | snr | 3.537126 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.939350 | | precision@k | 0.187870 | | mean reciprocal rank | 0.922966 | |
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| distilbert_multilingual_nli_stsb_quora_ranking |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.956673 | | std_true | 0.036464 | | mean_random | 0.776440 | | std_random | 0.068607 | | snr | 2.627024 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.898300 | | precision@k | 0.179660 | | mean reciprocal rank | 0.864336 | |
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| quora_distilbert_multilingual |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.956673 | | std_true | 0.036464 | | mean_random | 0.776440 | | std_random | 0.068607 | | snr | 2.627024 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.898300 | | precision@k | 0.179660 | | mean reciprocal rank | 0.864336 | |
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| xlm_r_large_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 1024 | | layers | 24 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.892696 | | std_true | 0.097706 | | mean_random | 0.188783 | | std_random | 0.151826 | | snr | 4.636321 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.951150 | | precision@k | 0.190230 | | mean reciprocal rank | 0.934592 | |
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| xlm_r_base_en_ko_nli_ststb |
| Statistic | Value | | arch | xlm-roberta | | hidden_size | 768 | | layers | 12 | | vocab_size | 250002 | |
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| Statistic | Value | | mean_true | 0.864184 | | std_true | 0.103033 | | mean_random | 0.222771 | | std_random | 0.169783 | | snr | 3.777835 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.924050 | | precision@k | 0.184810 | | mean reciprocal rank | 0.899723 | |
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| clip_ViT_B_32_multilingual_v1 |
| Statistic | Value | | arch | distilbert | | hidden_size | 768 | | layers | 6 | | vocab_size | 119547 | |
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| Statistic | Value | | mean_true | 0.945092 | | std_true | 0.039748 | | mean_random | 0.830551 | | std_random | 0.065523 | | snr | 1.748118 | | ks_p_value | 0.000000 | |
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| Statistic | Value | | recall@k | 0.636650 | | precision@k | 0.127330 | | mean reciprocal rank | 0.639024 | |
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